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A sports betting analytics app sells ready-to-use model picks through a subscription and creator-led distribution.
45% of downloads started a trial but only 13% paid, so they shut off all marketing for four months and rebuilt the app to hand users the picks instead of making them grade their own — then went from $1,700 MRR to a $40K peak in about ten weeks.
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Prop GPT is a sports betting analytics app built by college students Eyal and Yali. Its machine-learning models analyze picks and surface pre-analyzed bets scanned each day.
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Data credibility: Revenue, download, payer, conversion, and margin figures are stated by the founders in a Starter Story interview. They are self-reported and unaudited; the transcript gives different current and peak figures without a full reconciliation.
Prop GPT found early users through influencer marketing, using the founders’ existing experience working with successful app operators to choose creators and test spend. The team says it spent a few thousand dollars and reached around 20 downloads a day, which produced roughly 5–10 trial starts daily.
Prop GPT’s first dollars came through paid app subscriptions after influencer traffic brought users into its free trial. The founders say early marketing generated around 20 downloads daily and 5–10 trial starts, but the business stalled at roughly $1K–$2K MRR because few trial users stayed as paying customers.
Prop GPT’s growth loop connected a more useful product to creator distribution and seasonal sports attention. The founders rebuilt for four months without marketing, shifting the experience toward ready-to-use picks rather than asking users to manually enter bets.
During the four-month rebuild, Prop GPT’s founders shut down marketing and focused on engineering and design. For a small app team facing weak trial-to-paid conversion, that pause can be useful when the product promises clear value but users fail to experience it.
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